Analysis of artificial intelligence-based approaches applied to non-invasive imaging for early detection of melanoma: a systematic review
RH Patel, EA Foltz, A Witkowski, J Ludzik - Cancers, 2023 - mdpi.com
Simple Summary Melanoma is the most dangerous type of skin cancer worldwide. Early
detection of melanoma is crucial for better outcomes, but this often can be challenging. This …
detection of melanoma is crucial for better outcomes, but this often can be challenging. This …
Performance Enhancement of Skin Cancer Classification Using Computer Vision
A Magdy, H Hussein, RF Abdel-Kader… - IEEE …, 2023 - ieeexplore.ieee.org
Nowadays, computer vision plays an essential role in disease detection, computer-aided
diagnosis, and patient risk identification. This is especially true for skin cancer, which can be …
diagnosis, and patient risk identification. This is especially true for skin cancer, which can be …
[PDF][PDF] Mobile Dermatoscopy: Class Imbalance Management Based on Blurring Augmentation, Iterative Refining and Cost-Weighted Recall Loss
We present an end-to-end framework for real-time melanoma detection on mole images
acquired with mobile devices equipped with off-the-shelf magnifying lens. We trained our …
acquired with mobile devices equipped with off-the-shelf magnifying lens. We trained our …
An Identification Method of Feature Interpretation for Melanoma Using Machine Learning
Z Li, Q Ji, X Yang, Y Zhou, S Zhi - Applied Sciences, 2023 - mdpi.com
Melanoma is a fatal skin cancer that can be treated efficiently with early detection. There is a
pressing need for dependable computer-aided diagnosis (CAD) systems to address this …
pressing need for dependable computer-aided diagnosis (CAD) systems to address this …
Analysis and Detection of Melanoma through Collective Intelligence with AI
E Fernández-Morales… - 2024 IEEE 37th …, 2024 - ieeexplore.ieee.org
Cancer is a widespread global health problem, claiming millions of lives each year, and skin
cancer represents a significant threat as it is one of the most common types. Early tumor …
cancer represents a significant threat as it is one of the most common types. Early tumor …
Classification of Dermoscopic Images Using CNN-SVM
AE Minarno, M Fadhlan, Y Munarko… - … : International Journal on …, 2024 - joiv.org
Traditional machine learning methods like GLCM and ABCD rules have long been
employed for image classification tasks. However, they come with inherent limitations …
employed for image classification tasks. However, they come with inherent limitations …
Diagnosing of Skin Lesions Using Deep Convolutional Neural Network and Support Vector Machines
T Naghshbandi, A Fathi - Computer and Knowledge Engineering, 2024 - cke.um.ac.ir
The number of fatalities resulting from skin cancer has significantly increased over the past
few years. Early diagnosis is highly important for the quick treatment of skin cancer …
few years. Early diagnosis is highly important for the quick treatment of skin cancer …
Dynamic Spatial-Temporal Graph Model for Disease Prediction
A Senthilkumar, M Gupte… - International Journal of …, 2022 - search.proquest.com
Advances in the field of Neural Networks, especially Graph Neural Networks (GNNs) has
helped in many fields, mainly in the areas of Chemistry and Biology where recognizing and …
helped in many fields, mainly in the areas of Chemistry and Biology where recognizing and …
[PDF][PDF] Performance Enhancement of Skin Cancer Classification Using Computer Vision
K ABD EL SALAM - researchgate.net
Nowadays, computer vision plays an essential role in disease detection, computer-aided
diagnosis, and patient risk identification. This is especially true for skin cancer, which can be …
diagnosis, and patient risk identification. This is especially true for skin cancer, which can be …
[PDF][PDF] Importance of Artificial Intelligence Systems in Improving Melanoma Detection
A OLA - researchgate.net
The prevalence of skin cancer has increased in several nations worldwide. Due to the
disease's constant rise in the UK, patients and medical professionals now face greater …
disease's constant rise in the UK, patients and medical professionals now face greater …